Overview

Dataset statistics

Number of variables20
Number of observations7400
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 MiB
Average record size in memory160.0 B

Variable types

NUM19
BOOL1

Reproduction

Analysis started2020-08-25 01:59:54.267638
Analysis finished2020-08-25 02:00:51.144956
Duration56.88 seconds
Versionpandas-profiling v2.8.0
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml

Variables

A1
Real number (ℝ)

Distinct count6748
Unique (%)91.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.007016635135135133
Minimum-4.2497
Maximum3.5782
Zeros0
Zeros (%)0.0%
Memory size57.9 KiB
2020-08-25T02:00:51.198380image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-4.2497
5-th percentile-1.767415
Q1-0.7241
median-0.0115
Q30.74595
95-th percentile1.794325
Maximum3.5782
Range7.8279
Interquartile range (IQR)1.47005

Descriptive statistics

Standard deviation1.083633988
Coefficient of variation (CV)154.4378419
Kurtosis-0.08391126624
Mean0.007016635135
Median Absolute Deviation (MAD)0.7316
Skewness0.02124194378
Sum51.9231
Variance1.17426262
2020-08-25T02:00:51.306974image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.700940.1%
 
0.0940.1%
 
-0.05240.1%
 
0.546840.1%
 
-0.19973< 0.1%
 
-0.36983< 0.1%
 
0.04253< 0.1%
 
-1.50063< 0.1%
 
-0.34233< 0.1%
 
-0.3223< 0.1%
 
-0.6823< 0.1%
 
0.23753< 0.1%
 
0.89973< 0.1%
 
-0.22333< 0.1%
 
-0.19383< 0.1%
 
0.08513< 0.1%
 
-0.52793< 0.1%
 
1.2673< 0.1%
 
-0.76263< 0.1%
 
0.50443< 0.1%
 
0.53763< 0.1%
 
-0.06383< 0.1%
 
0.84733< 0.1%
 
-0.38043< 0.1%
 
-0.48283< 0.1%
 
Other values (6723)732198.9%
 
ValueCountFrequency (%) 
-4.24971< 0.1%
 
-4.01371< 0.1%
 
-3.79891< 0.1%
 
-3.48061< 0.1%
 
-3.43021< 0.1%
 
-3.37841< 0.1%
 
-3.3281< 0.1%
 
-3.2671< 0.1%
 
-3.23351< 0.1%
 
-3.13361< 0.1%
 
ValueCountFrequency (%) 
3.57821< 0.1%
 
3.5321< 0.1%
 
3.4841< 0.1%
 
3.46111< 0.1%
 
3.44861< 0.1%
 
3.39621< 0.1%
 
3.35791< 0.1%
 
3.33841< 0.1%
 
3.32391< 0.1%
 
3.25691< 0.1%
 

A18
Real number (ℝ)

Distinct count6732
Unique (%)91.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002639445945945949
Minimum-4.0653
Maximum4.0557
Zeros0
Zeros (%)0.0%
Memory size57.9 KiB
2020-08-25T02:00:51.428793image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-4.0653
5-th percentile-1.79452
Q1-0.7545
median-0.01595
Q30.75065
95-th percentile1.8281
Maximum4.0557
Range8.121
Interquartile range (IQR)1.50515

Descriptive statistics

Standard deviation1.105467852
Coefficient of variation (CV)-418.8257214
Kurtosis-0.0628058944
Mean-0.002639445946
Median Absolute Deviation (MAD)0.753
Skewness0.002285988996
Sum-19.5319
Variance1.222059173
2020-08-25T02:00:51.543770image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.11650.1%
 
-1.275840.1%
 
-0.25140.1%
 
-0.17633< 0.1%
 
0.21653< 0.1%
 
-2.02953< 0.1%
 
0.33693< 0.1%
 
0.12953< 0.1%
 
-0.00543< 0.1%
 
1.14033< 0.1%
 
1.29213< 0.1%
 
0.62413< 0.1%
 
0.7373< 0.1%
 
0.86983< 0.1%
 
-0.97523< 0.1%
 
-0.16723< 0.1%
 
-0.71993< 0.1%
 
0.36563< 0.1%
 
0.1533< 0.1%
 
0.34733< 0.1%
 
-0.11553< 0.1%
 
0.11843< 0.1%
 
-0.16363< 0.1%
 
0.14023< 0.1%
 
0.01633< 0.1%
 
Other values (6707)732198.9%
 
ValueCountFrequency (%) 
-4.06531< 0.1%
 
-3.86391< 0.1%
 
-3.7911< 0.1%
 
-3.49641< 0.1%
 
-3.421< 0.1%
 
-3.3751< 0.1%
 
-3.35871< 0.1%
 
-3.29031< 0.1%
 
-3.27751< 0.1%
 
-3.27211< 0.1%
 
ValueCountFrequency (%) 
4.05571< 0.1%
 
3.72871< 0.1%
 
3.52281< 0.1%
 
3.4991< 0.1%
 
3.48451< 0.1%
 
3.48331< 0.1%
 
3.46151< 0.1%
 
3.34651< 0.1%
 
3.23541< 0.1%
 
3.22661< 0.1%
 

A16
Real number (ℝ)

Distinct count6740
Unique (%)91.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01649366216216216
Minimum-3.6976
Maximum4.2439
Zeros0
Zeros (%)0.0%
Memory size57.9 KiB
2020-08-25T02:00:51.670173image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-3.6976
5-th percentile-1.7959
Q1-0.74635
median-0.02735
Q30.7223
95-th percentile1.755
Maximum4.2439
Range7.9415
Interquartile range (IQR)1.46865

Descriptive statistics

Standard deviation1.079139445
Coefficient of variation (CV)-65.42752207
Kurtosis-0.0720260586
Mean-0.01649366216
Median Absolute Deviation (MAD)0.7333
Skewness0.04781601212
Sum-122.0531
Variance1.164541942
2020-08-25T02:00:51.778484image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.159640.1%
 
0.263540.1%
 
-0.14553< 0.1%
 
-0.59153< 0.1%
 
-1.89973< 0.1%
 
-1.14393< 0.1%
 
1.37373< 0.1%
 
-0.57093< 0.1%
 
-0.20083< 0.1%
 
-1.16383< 0.1%
 
-0.95543< 0.1%
 
-0.69373< 0.1%
 
0.27053< 0.1%
 
0.78733< 0.1%
 
-0.63343< 0.1%
 
0.5863< 0.1%
 
-0.48893< 0.1%
 
0.17493< 0.1%
 
0.55133< 0.1%
 
0.14953< 0.1%
 
-0.33363< 0.1%
 
-0.36533< 0.1%
 
-1.20713< 0.1%
 
-0.84183< 0.1%
 
0.56273< 0.1%
 
Other values (6715)732399.0%
 
ValueCountFrequency (%) 
-3.69761< 0.1%
 
-3.54461< 0.1%
 
-3.53491< 0.1%
 
-3.52331< 0.1%
 
-3.45831< 0.1%
 
-3.40851< 0.1%
 
-3.4021< 0.1%
 
-3.39891< 0.1%
 
-3.32921< 0.1%
 
-3.29251< 0.1%
 
ValueCountFrequency (%) 
4.24391< 0.1%
 
3.87571< 0.1%
 
3.75431< 0.1%
 
3.51721< 0.1%
 
3.42991< 0.1%
 
3.40911< 0.1%
 
3.31961< 0.1%
 
3.27991< 0.1%
 
3.23861< 0.1%
 
3.23051< 0.1%
 

A2
Real number (ℝ)

Distinct count6734
Unique (%)91.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.009255067567567566
Minimum-3.9606
Maximum4.3451
Zeros1
Zeros (%)< 0.1%
Memory size57.9 KiB
2020-08-25T02:00:51.903952image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-3.9606
5-th percentile-1.845475
Q1-0.7233
median0.00345
Q30.772275
95-th percentile1.834645
Maximum4.3451
Range8.3057
Interquartile range (IQR)1.495575

Descriptive statistics

Standard deviation1.10528813
Coefficient of variation (CV)119.4251822
Kurtosis-0.06487143106
Mean0.009255067568
Median Absolute Deviation (MAD)0.74525
Skewness-0.01667161771
Sum68.4875
Variance1.22166185
2020-08-25T02:00:52.005294image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.015540.1%
 
-0.76440.1%
 
1.128240.1%
 
0.89753< 0.1%
 
-0.33873< 0.1%
 
0.65143< 0.1%
 
-0.84143< 0.1%
 
-0.32993< 0.1%
 
-1.36573< 0.1%
 
1.30593< 0.1%
 
0.24313< 0.1%
 
-0.26393< 0.1%
 
0.07243< 0.1%
 
0.28283< 0.1%
 
-0.19863< 0.1%
 
0.46863< 0.1%
 
0.18863< 0.1%
 
0.23423< 0.1%
 
0.30983< 0.1%
 
0.9973< 0.1%
 
-0.593< 0.1%
 
0.18553< 0.1%
 
-0.08063< 0.1%
 
0.53723< 0.1%
 
-0.58913< 0.1%
 
Other values (6709)732298.9%
 
ValueCountFrequency (%) 
-3.96061< 0.1%
 
-3.58311< 0.1%
 
-3.42241< 0.1%
 
-3.36871< 0.1%
 
-3.32151< 0.1%
 
-3.3121< 0.1%
 
-3.29921< 0.1%
 
-3.29781< 0.1%
 
-3.27561< 0.1%
 
-3.24671< 0.1%
 
ValueCountFrequency (%) 
4.34511< 0.1%
 
3.92851< 0.1%
 
3.91411< 0.1%
 
3.67981< 0.1%
 
3.67811< 0.1%
 
3.62421< 0.1%
 
3.54311< 0.1%
 
3.52131< 0.1%
 
3.44231< 0.1%
 
3.40531< 0.1%
 

A9
Real number (ℝ)

Distinct count6742
Unique (%)91.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.010799878378378378
Minimum-3.8136
Maximum4.254
Zeros0
Zeros (%)0.0%
Memory size57.9 KiB
2020-08-25T02:00:52.116501image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-3.8136
5-th percentile-1.78123
Q1-0.72095
median0.0137
Q30.755125
95-th percentile1.80282
Maximum4.254
Range8.0676
Interquartile range (IQR)1.476075

Descriptive statistics

Standard deviation1.09500623
Coefficient of variation (CV)101.3906075
Kurtosis-0.02821781869
Mean0.01079987838
Median Absolute Deviation (MAD)0.7399
Skewness-0.007080588912
Sum79.9191
Variance1.199038643
2020-08-25T02:00:52.226102image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.04540.1%
 
-0.22943< 0.1%
 
-0.26523< 0.1%
 
0.16333< 0.1%
 
-0.4423< 0.1%
 
0.61213< 0.1%
 
0.46523< 0.1%
 
-0.88743< 0.1%
 
-0.22713< 0.1%
 
-0.40673< 0.1%
 
0.50973< 0.1%
 
-0.97253< 0.1%
 
0.08213< 0.1%
 
0.4173< 0.1%
 
0.68773< 0.1%
 
-0.41723< 0.1%
 
1.51683< 0.1%
 
-1.21213< 0.1%
 
-0.94213< 0.1%
 
0.19713< 0.1%
 
1.1863< 0.1%
 
0.33983< 0.1%
 
0.1613< 0.1%
 
0.03923< 0.1%
 
1.79093< 0.1%
 
Other values (6717)732499.0%
 
ValueCountFrequency (%) 
-3.81361< 0.1%
 
-3.78421< 0.1%
 
-3.75771< 0.1%
 
-3.63181< 0.1%
 
-3.48261< 0.1%
 
-3.43521< 0.1%
 
-3.4271< 0.1%
 
-3.40041< 0.1%
 
-3.38211< 0.1%
 
-3.30721< 0.1%
 
ValueCountFrequency (%) 
4.2541< 0.1%
 
3.85971< 0.1%
 
3.69791< 0.1%
 
3.68261< 0.1%
 
3.62281< 0.1%
 
3.56181< 0.1%
 
3.55181< 0.1%
 
3.37251< 0.1%
 
3.33421< 0.1%
 
3.31271< 0.1%
 

A6
Real number (ℝ)

Distinct count6743
Unique (%)91.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.009284797297297302
Minimum-4.0095
Maximum3.9901
Zeros0
Zeros (%)0.0%
Memory size57.9 KiB
2020-08-25T02:00:52.349774image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-4.0095
5-th percentile-1.780825
Q1-0.740725
median0.01585
Q30.7618
95-th percentile1.81813
Maximum3.9901
Range7.9996
Interquartile range (IQR)1.502525

Descriptive statistics

Standard deviation1.094769926
Coefficient of variation (CV)117.9099436
Kurtosis-0.09722383531
Mean0.009284797297
Median Absolute Deviation (MAD)0.75095
Skewness0.005118287563
Sum68.7075
Variance1.198521191
2020-08-25T02:00:52.462996image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.579140.1%
 
0.311540.1%
 
0.5013< 0.1%
 
-0.89683< 0.1%
 
0.13213< 0.1%
 
-1.75573< 0.1%
 
0.50293< 0.1%
 
-0.39913< 0.1%
 
-1.01613< 0.1%
 
-0.32663< 0.1%
 
-0.4823< 0.1%
 
-0.09533< 0.1%
 
-1.26643< 0.1%
 
-0.23843< 0.1%
 
-0.64423< 0.1%
 
-0.34723< 0.1%
 
-1.0183< 0.1%
 
0.40343< 0.1%
 
0.17093< 0.1%
 
-0.34073< 0.1%
 
-0.32023< 0.1%
 
0.47013< 0.1%
 
0.88233< 0.1%
 
0.3313< 0.1%
 
-0.90993< 0.1%
 
Other values (6718)732399.0%
 
ValueCountFrequency (%) 
-4.00951< 0.1%
 
-3.551< 0.1%
 
-3.53281< 0.1%
 
-3.49031< 0.1%
 
-3.4081< 0.1%
 
-3.39011< 0.1%
 
-3.37681< 0.1%
 
-3.29991< 0.1%
 
-3.18771< 0.1%
 
-3.15511< 0.1%
 
ValueCountFrequency (%) 
3.99011< 0.1%
 
3.91291< 0.1%
 
3.89771< 0.1%
 
3.59731< 0.1%
 
3.59061< 0.1%
 
3.46781< 0.1%
 
3.46341< 0.1%
 
3.30511< 0.1%
 
3.29461< 0.1%
 
3.23541< 0.1%
 

A12
Real number (ℝ)

Distinct count6789
Unique (%)91.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01086013513513514
Minimum-3.8262
Maximum4.3025
Zeros0
Zeros (%)0.0%
Memory size57.9 KiB
2020-08-25T02:00:52.591297image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-3.8262
5-th percentile-1.75841
Q1-0.7236
median0.00835
Q30.74895
95-th percentile1.79925
Maximum4.3025
Range8.1287
Interquartile range (IQR)1.47255

Descriptive statistics

Standard deviation1.079401304
Coefficient of variation (CV)99.39114848
Kurtosis-0.08300920728
Mean0.01086013514
Median Absolute Deviation (MAD)0.7364
Skewness0.01946178003
Sum80.365
Variance1.165107175
2020-08-25T02:00:52.886036image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.133440.1%
 
-0.089540.1%
 
-0.30153< 0.1%
 
-0.67213< 0.1%
 
0.48083< 0.1%
 
-0.37413< 0.1%
 
0.07743< 0.1%
 
-0.24993< 0.1%
 
-0.50063< 0.1%
 
-0.41963< 0.1%
 
-0.22613< 0.1%
 
-0.21653< 0.1%
 
0.6193< 0.1%
 
0.40963< 0.1%
 
1.08123< 0.1%
 
-0.95863< 0.1%
 
1.01813< 0.1%
 
-0.44443< 0.1%
 
-0.62113< 0.1%
 
0.07123< 0.1%
 
-0.35743< 0.1%
 
-0.82033< 0.1%
 
0.39333< 0.1%
 
-0.76733< 0.1%
 
0.38113< 0.1%
 
Other values (6764)732399.0%
 
ValueCountFrequency (%) 
-3.82621< 0.1%
 
-3.64341< 0.1%
 
-3.61721< 0.1%
 
-3.47041< 0.1%
 
-3.24051< 0.1%
 
-3.20921< 0.1%
 
-3.20821< 0.1%
 
-3.16991< 0.1%
 
-3.16881< 0.1%
 
-3.15811< 0.1%
 
ValueCountFrequency (%) 
4.30251< 0.1%
 
3.97851< 0.1%
 
3.4911< 0.1%
 
3.4491< 0.1%
 
3.3641< 0.1%
 
3.31841< 0.1%
 
3.1941< 0.1%
 
3.1931< 0.1%
 
3.18321< 0.1%
 
3.10631< 0.1%
 

A4
Real number (ℝ)

Distinct count6735
Unique (%)91.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.010342391891891888
Minimum-3.8891
Maximum4.2589
Zeros0
Zeros (%)0.0%
Memory size57.9 KiB
2020-08-25T02:00:53.011498image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-3.8891
5-th percentile-1.75332
Q1-0.738725
median0.006
Q30.760125
95-th percentile1.79554
Maximum4.2589
Range8.148
Interquartile range (IQR)1.49885

Descriptive statistics

Standard deviation1.086460084
Coefficient of variation (CV)105.0492087
Kurtosis-0.054188109
Mean0.01034239189
Median Absolute Deviation (MAD)0.74885
Skewness0.02131087296
Sum76.5337
Variance1.180395514
2020-08-25T02:00:53.123847image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.784540.1%
 
-0.671140.1%
 
0.034640.1%
 
0.824640.1%
 
0.835340.1%
 
-0.27283< 0.1%
 
0.31313< 0.1%
 
0.67683< 0.1%
 
0.21333< 0.1%
 
-0.97613< 0.1%
 
-0.06023< 0.1%
 
-0.23733< 0.1%
 
0.0193< 0.1%
 
-0.86973< 0.1%
 
-1.04023< 0.1%
 
-0.16983< 0.1%
 
0.11053< 0.1%
 
-1.21713< 0.1%
 
-0.41443< 0.1%
 
0.63093< 0.1%
 
-0.55233< 0.1%
 
-0.1043< 0.1%
 
-1.38573< 0.1%
 
0.82043< 0.1%
 
-0.39383< 0.1%
 
Other values (6710)732098.9%
 
ValueCountFrequency (%) 
-3.88911< 0.1%
 
-3.79171< 0.1%
 
-3.65641< 0.1%
 
-3.56211< 0.1%
 
-3.46991< 0.1%
 
-3.44261< 0.1%
 
-3.4121< 0.1%
 
-3.37191< 0.1%
 
-3.34091< 0.1%
 
-3.2961< 0.1%
 
ValueCountFrequency (%) 
4.25891< 0.1%
 
3.79371< 0.1%
 
3.74751< 0.1%
 
3.70221< 0.1%
 
3.66891< 0.1%
 
3.5141< 0.1%
 
3.44281< 0.1%
 
3.41751< 0.1%
 
3.36761< 0.1%
 
3.36631< 0.1%
 

A19
Real number (ℝ)

Distinct count6706
Unique (%)90.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.00015014864864865062
Minimum-4.1218
Maximum4.3238
Zeros0
Zeros (%)0.0%
Memory size57.9 KiB
2020-08-25T02:00:53.255679image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-4.1218
5-th percentile-1.79115
Q1-0.738575
median0.01625
Q30.7284
95-th percentile1.77293
Maximum4.3238
Range8.4456
Interquartile range (IQR)1.466975

Descriptive statistics

Standard deviation1.090183511
Coefficient of variation (CV)-7260.694789
Kurtosis-0.08421320041
Mean-0.0001501486486
Median Absolute Deviation (MAD)0.7353
Skewness-0.003159962728
Sum-1.1111
Variance1.188500087
2020-08-25T02:00:53.355672image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.258640.1%
 
0.554940.1%
 
-0.274240.1%
 
-0.40173< 0.1%
 
0.63133< 0.1%
 
0.15253< 0.1%
 
-0.49733< 0.1%
 
-1.07333< 0.1%
 
-0.91423< 0.1%
 
-0.3743< 0.1%
 
-0.22773< 0.1%
 
-0.84833< 0.1%
 
0.28863< 0.1%
 
0.04563< 0.1%
 
-1.14763< 0.1%
 
-0.66363< 0.1%
 
-0.123< 0.1%
 
-0.25393< 0.1%
 
0.31793< 0.1%
 
-0.83583< 0.1%
 
1.01543< 0.1%
 
-0.16793< 0.1%
 
-0.88483< 0.1%
 
-0.17633< 0.1%
 
-0.7033< 0.1%
 
Other values (6681)732298.9%
 
ValueCountFrequency (%) 
-4.12181< 0.1%
 
-3.56151< 0.1%
 
-3.52581< 0.1%
 
-3.52371< 0.1%
 
-3.48911< 0.1%
 
-3.44991< 0.1%
 
-3.30241< 0.1%
 
-3.29021< 0.1%
 
-3.2151< 0.1%
 
-3.17621< 0.1%
 
ValueCountFrequency (%) 
4.32381< 0.1%
 
3.63651< 0.1%
 
3.44721< 0.1%
 
3.32061< 0.1%
 
3.29841< 0.1%
 
3.24851< 0.1%
 
3.24271< 0.1%
 
3.241< 0.1%
 
3.16391< 0.1%
 
3.15941< 0.1%
 

A17
Real number (ℝ)

Distinct count6775
Unique (%)91.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.012002324324324328
Minimum-3.9428
Maximum3.7233
Zeros0
Zeros (%)0.0%
Memory size57.9 KiB
2020-08-25T02:00:53.469621image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-3.9428
5-th percentile-1.80502
Q1-0.7251
median0.0161
Q30.745925
95-th percentile1.80877
Maximum3.7233
Range7.6661
Interquartile range (IQR)1.471025

Descriptive statistics

Standard deviation1.094114595
Coefficient of variation (CV)91.15855939
Kurtosis-0.09955795649
Mean0.01200232432
Median Absolute Deviation (MAD)0.73655
Skewness0.001008244414
Sum88.8172
Variance1.197086746
2020-08-25T02:00:53.581491image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.798240.1%
 
0.584340.1%
 
0.064340.1%
 
0.34863< 0.1%
 
0.15353< 0.1%
 
0.00433< 0.1%
 
0.04943< 0.1%
 
-0.50043< 0.1%
 
0.31263< 0.1%
 
-0.31183< 0.1%
 
0.68723< 0.1%
 
-0.74143< 0.1%
 
-0.2913< 0.1%
 
0.66583< 0.1%
 
0.4953< 0.1%
 
0.74993< 0.1%
 
1.40313< 0.1%
 
0.55153< 0.1%
 
0.03133< 0.1%
 
0.94613< 0.1%
 
-1.59473< 0.1%
 
-0.26143< 0.1%
 
0.54213< 0.1%
 
0.40183< 0.1%
 
1.06183< 0.1%
 
Other values (6750)732298.9%
 
ValueCountFrequency (%) 
-3.94281< 0.1%
 
-3.65291< 0.1%
 
-3.47661< 0.1%
 
-3.37221< 0.1%
 
-3.36821< 0.1%
 
-3.36621< 0.1%
 
-3.33351< 0.1%
 
-3.28511< 0.1%
 
-3.20751< 0.1%
 
-3.20541< 0.1%
 
ValueCountFrequency (%) 
3.72331< 0.1%
 
3.62321< 0.1%
 
3.51591< 0.1%
 
3.41491< 0.1%
 
3.25851< 0.1%
 
3.25511< 0.1%
 
3.18871< 0.1%
 
3.16111< 0.1%
 
3.14991< 0.1%
 
3.13231< 0.1%
 

A14
Real number (ℝ)

Distinct count6760
Unique (%)91.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003453864864864865
Minimum-3.8516
Maximum4.1238
Zeros0
Zeros (%)0.0%
Memory size57.9 KiB
2020-08-25T02:00:53.713495image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-3.8516
5-th percentile-1.828065
Q1-0.7548
median0.0051
Q30.7708
95-th percentile1.80865
Maximum4.1238
Range7.9754
Interquartile range (IQR)1.5256

Descriptive statistics

Standard deviation1.100551752
Coefficient of variation (CV)318.6435471
Kurtosis-0.1441707566
Mean0.003453864865
Median Absolute Deviation (MAD)0.7617
Skewness-0.01336095446
Sum25.5586
Variance1.211214158
2020-08-25T02:00:53.826527image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.155740.1%
 
-0.35583< 0.1%
 
0.25413< 0.1%
 
0.37473< 0.1%
 
1.11933< 0.1%
 
-0.61823< 0.1%
 
-0.08733< 0.1%
 
1.0253< 0.1%
 
-0.28163< 0.1%
 
0.63413< 0.1%
 
0.25823< 0.1%
 
1.08833< 0.1%
 
0.29513< 0.1%
 
0.11433< 0.1%
 
-0.63193< 0.1%
 
0.77763< 0.1%
 
1.18623< 0.1%
 
0.33623< 0.1%
 
0.10623< 0.1%
 
0.07943< 0.1%
 
0.54013< 0.1%
 
-1.10823< 0.1%
 
-0.73533< 0.1%
 
0.56273< 0.1%
 
-0.47633< 0.1%
 
Other values (6735)732499.0%
 
ValueCountFrequency (%) 
-3.85161< 0.1%
 
-3.72761< 0.1%
 
-3.70441< 0.1%
 
-3.50441< 0.1%
 
-3.47151< 0.1%
 
-3.46471< 0.1%
 
-3.37811< 0.1%
 
-3.29581< 0.1%
 
-3.20331< 0.1%
 
-3.2031< 0.1%
 
ValueCountFrequency (%) 
4.12381< 0.1%
 
3.60121< 0.1%
 
3.58811< 0.1%
 
3.58771< 0.1%
 
3.45541< 0.1%
 
3.25211< 0.1%
 
3.22391< 0.1%
 
3.13241< 0.1%
 
3.13221< 0.1%
 
3.12211< 0.1%
 

A3
Real number (ℝ)

Distinct count6768
Unique (%)91.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.022110783783783783
Minimum-4.4798
Maximum4.4039
Zeros1
Zeros (%)< 0.1%
Memory size57.9 KiB
2020-08-25T02:00:53.951493image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-4.4798
5-th percentile-1.84581
Q1-0.7538
median-0.0166
Q30.7007
95-th percentile1.76247
Maximum4.4039
Range8.8837
Interquartile range (IQR)1.4545

Descriptive statistics

Standard deviation1.086430849
Coefficient of variation (CV)-49.13579091
Kurtosis-0.05253479917
Mean-0.02211078378
Median Absolute Deviation (MAD)0.7311
Skewness0.0009134020057
Sum-163.6198
Variance1.180331989
2020-08-25T02:00:54.048341image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.255340.1%
 
0.17963< 0.1%
 
1.11153< 0.1%
 
-0.47723< 0.1%
 
0.33653< 0.1%
 
1.27313< 0.1%
 
-0.16483< 0.1%
 
-0.43353< 0.1%
 
-0.64553< 0.1%
 
0.2443< 0.1%
 
0.15383< 0.1%
 
0.55453< 0.1%
 
0.11623< 0.1%
 
-0.45533< 0.1%
 
-0.79943< 0.1%
 
-0.6633< 0.1%
 
-0.12863< 0.1%
 
-0.08953< 0.1%
 
-0.25743< 0.1%
 
0.06613< 0.1%
 
-1.19713< 0.1%
 
0.4253< 0.1%
 
-0.94343< 0.1%
 
0.57543< 0.1%
 
-0.02293< 0.1%
 
Other values (6743)732499.0%
 
ValueCountFrequency (%) 
-4.47981< 0.1%
 
-3.90241< 0.1%
 
-3.66331< 0.1%
 
-3.63741< 0.1%
 
-3.61281< 0.1%
 
-3.58641< 0.1%
 
-3.40441< 0.1%
 
-3.32941< 0.1%
 
-3.17391< 0.1%
 
-3.15961< 0.1%
 
ValueCountFrequency (%) 
4.40391< 0.1%
 
3.99241< 0.1%
 
3.77311< 0.1%
 
3.68841< 0.1%
 
3.41221< 0.1%
 
3.4111< 0.1%
 
3.2851< 0.1%
 
3.27121< 0.1%
 
3.24791< 0.1%
 
3.21661< 0.1%
 

A10
Real number (ℝ)

Distinct count6790
Unique (%)91.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.021697391891891897
Minimum-4.1999
Maximum4.0829
Zeros0
Zeros (%)0.0%
Memory size57.9 KiB
2020-08-25T02:00:54.155651image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-4.1999
5-th percentile-1.824795
Q1-0.755475
median-0.03025
Q30.724725
95-th percentile1.758505
Maximum4.0829
Range8.2828
Interquartile range (IQR)1.4802

Descriptive statistics

Standard deviation1.08989065
Coefficient of variation (CV)-50.23141286
Kurtosis-0.02673787731
Mean-0.02169739189
Median Absolute Deviation (MAD)0.7423
Skewness0.00253116166
Sum-160.5607
Variance1.187861629
2020-08-25T02:00:54.259414image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.004640.1%
 
-0.300540.1%
 
-0.09683< 0.1%
 
0.1883< 0.1%
 
0.15263< 0.1%
 
0.44533< 0.1%
 
0.83973< 0.1%
 
0.55333< 0.1%
 
0.76363< 0.1%
 
0.64183< 0.1%
 
0.1493< 0.1%
 
-0.27633< 0.1%
 
0.28773< 0.1%
 
1.23823< 0.1%
 
-0.31293< 0.1%
 
-0.18983< 0.1%
 
-0.93443< 0.1%
 
0.31293< 0.1%
 
1.48943< 0.1%
 
-0.07853< 0.1%
 
-0.09923< 0.1%
 
-0.17563< 0.1%
 
0.91033< 0.1%
 
0.32153< 0.1%
 
-0.4713< 0.1%
 
Other values (6765)732399.0%
 
ValueCountFrequency (%) 
-4.19991< 0.1%
 
-3.90791< 0.1%
 
-3.84491< 0.1%
 
-3.6561< 0.1%
 
-3.59811< 0.1%
 
-3.52031< 0.1%
 
-3.50911< 0.1%
 
-3.48541< 0.1%
 
-3.3661< 0.1%
 
-3.25521< 0.1%
 
ValueCountFrequency (%) 
4.08291< 0.1%
 
4.04841< 0.1%
 
3.9061< 0.1%
 
3.7621< 0.1%
 
3.70991< 0.1%
 
3.48991< 0.1%
 
3.42691< 0.1%
 
3.40281< 0.1%
 
3.39561< 0.1%
 
3.21971< 0.1%
 

A20
Real number (ℝ)

Distinct count6762
Unique (%)91.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.011125135135135134
Minimum-3.7831
Maximum4.279
Zeros0
Zeros (%)0.0%
Memory size57.9 KiB
2020-08-25T02:00:54.370963image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-3.7831
5-th percentile-1.776305
Q1-0.721175
median-0.0078
Q30.754
95-th percentile1.83213
Maximum4.279
Range8.0621
Interquartile range (IQR)1.475175

Descriptive statistics

Standard deviation1.092349001
Coefficient of variation (CV)98.18748154
Kurtosis0.009872171938
Mean0.01112513514
Median Absolute Deviation (MAD)0.7371
Skewness0.04817390717
Sum82.326
Variance1.193226339
2020-08-25T02:00:54.482986image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.871740.1%
 
0.374640.1%
 
1.596940.1%
 
-0.477140.1%
 
0.61293< 0.1%
 
1.12833< 0.1%
 
-1.63183< 0.1%
 
-0.23343< 0.1%
 
0.50153< 0.1%
 
-0.30623< 0.1%
 
-0.19543< 0.1%
 
-0.1943< 0.1%
 
0.04183< 0.1%
 
0.56613< 0.1%
 
0.29493< 0.1%
 
0.23623< 0.1%
 
-0.0183< 0.1%
 
-0.50383< 0.1%
 
-0.94393< 0.1%
 
0.15973< 0.1%
 
1.11583< 0.1%
 
-0.2313< 0.1%
 
-0.72633< 0.1%
 
0.45443< 0.1%
 
-0.77083< 0.1%
 
Other values (6737)732198.9%
 
ValueCountFrequency (%) 
-3.78311< 0.1%
 
-3.43131< 0.1%
 
-3.36551< 0.1%
 
-3.36141< 0.1%
 
-3.32451< 0.1%
 
-3.23781< 0.1%
 
-3.22241< 0.1%
 
-3.20331< 0.1%
 
-3.19381< 0.1%
 
-3.1891< 0.1%
 
ValueCountFrequency (%) 
4.2791< 0.1%
 
4.01611< 0.1%
 
3.78641< 0.1%
 
3.76481< 0.1%
 
3.73411< 0.1%
 
3.69211< 0.1%
 
3.62891< 0.1%
 
3.54731< 0.1%
 
3.45981< 0.1%
 
3.45471< 0.1%
 

A5
Real number (ℝ)

Distinct count6787
Unique (%)91.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.009680432432432428
Minimum-3.9099
Maximum5.6395
Zeros0
Zeros (%)0.0%
Memory size57.9 KiB
2020-08-25T02:00:54.604207image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-3.9099
5-th percentile-1.827825
Q1-0.722825
median-0.00215
Q30.751575
95-th percentile1.825655
Maximum5.6395
Range9.5494
Interquartile range (IQR)1.4744

Descriptive statistics

Standard deviation1.096356805
Coefficient of variation (CV)113.2549411
Kurtosis0.04916169059
Mean0.009680432432
Median Absolute Deviation (MAD)0.73745
Skewness0.01157890999
Sum71.6352
Variance1.201998244
2020-08-25T02:00:54.699594image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.48023< 0.1%
 
-0.80563< 0.1%
 
0.32453< 0.1%
 
-0.01233< 0.1%
 
0.23853< 0.1%
 
-0.10083< 0.1%
 
0.32333< 0.1%
 
0.12523< 0.1%
 
0.16373< 0.1%
 
-0.04823< 0.1%
 
0.00343< 0.1%
 
-0.4453< 0.1%
 
0.40873< 0.1%
 
-0.53913< 0.1%
 
0.03183< 0.1%
 
-0.79923< 0.1%
 
0.4253< 0.1%
 
0.15753< 0.1%
 
-0.96423< 0.1%
 
-0.24333< 0.1%
 
0.29643< 0.1%
 
0.41523< 0.1%
 
0.76913< 0.1%
 
0.26523< 0.1%
 
-0.24373< 0.1%
 
Other values (6762)732599.0%
 
ValueCountFrequency (%) 
-3.90991< 0.1%
 
-3.64891< 0.1%
 
-3.63011< 0.1%
 
-3.49281< 0.1%
 
-3.43061< 0.1%
 
-3.41551< 0.1%
 
-3.40551< 0.1%
 
-3.37331< 0.1%
 
-3.3671< 0.1%
 
-3.3631< 0.1%
 
ValueCountFrequency (%) 
5.63951< 0.1%
 
4.21311< 0.1%
 
4.16521< 0.1%
 
3.88211< 0.1%
 
3.62581< 0.1%
 
3.55861< 0.1%
 
3.39841< 0.1%
 
3.38731< 0.1%
 
3.30111< 0.1%
 
3.23731< 0.1%
 

A13
Real number (ℝ)

Distinct count6731
Unique (%)91.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.013736527027027025
Minimum-3.9451
Maximum3.7817
Zeros1
Zeros (%)< 0.1%
Memory size57.9 KiB
2020-08-25T02:00:54.804778image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-3.9451
5-th percentile-1.75842
Q1-0.735875
median0.0181
Q30.734675
95-th percentile1.785005
Maximum3.7817
Range7.7268
Interquartile range (IQR)1.47055

Descriptive statistics

Standard deviation1.079384444
Coefficient of variation (CV)78.57768139
Kurtosis-0.0818044548
Mean0.01373652703
Median Absolute Deviation (MAD)0.73725
Skewness0.04987748038
Sum101.6503
Variance1.165070778
2020-08-25T02:00:54.914176image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.025740.1%
 
-0.020340.1%
 
0.112840.1%
 
0.51913< 0.1%
 
0.07993< 0.1%
 
0.94373< 0.1%
 
-0.38293< 0.1%
 
0.50163< 0.1%
 
-1.02973< 0.1%
 
-0.27413< 0.1%
 
1.33< 0.1%
 
-1.36913< 0.1%
 
0.00443< 0.1%
 
0.08273< 0.1%
 
-0.35173< 0.1%
 
-0.54573< 0.1%
 
0.39993< 0.1%
 
-0.32343< 0.1%
 
-0.9313< 0.1%
 
0.63373< 0.1%
 
0.1673< 0.1%
 
0.4523< 0.1%
 
-0.38853< 0.1%
 
0.72333< 0.1%
 
-0.17113< 0.1%
 
Other values (6706)732298.9%
 
ValueCountFrequency (%) 
-3.94511< 0.1%
 
-3.40421< 0.1%
 
-3.35751< 0.1%
 
-3.3311< 0.1%
 
-3.27051< 0.1%
 
-3.20231< 0.1%
 
-3.20181< 0.1%
 
-3.1841< 0.1%
 
-3.05151< 0.1%
 
-3.04131< 0.1%
 
ValueCountFrequency (%) 
3.78171< 0.1%
 
3.56921< 0.1%
 
3.5651< 0.1%
 
3.5351< 0.1%
 
3.4861< 0.1%
 
3.41951< 0.1%
 
3.41091< 0.1%
 
3.40541< 0.1%
 
3.342< 0.1%
 
3.33751< 0.1%
 

A8
Real number (ℝ)

Distinct count6776
Unique (%)91.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.006546175675675676
Minimum-4.5744
Maximum3.8648
Zeros0
Zeros (%)0.0%
Memory size57.9 KiB
2020-08-25T02:00:55.041413image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-4.5744
5-th percentile-1.770415
Q1-0.7462
median0.0027
Q30.7618
95-th percentile1.82362
Maximum3.8648
Range8.4392
Interquartile range (IQR)1.508

Descriptive statistics

Standard deviation1.096470985
Coefficient of variation (CV)167.4979468
Kurtosis-0.08819077352
Mean0.006546175676
Median Absolute Deviation (MAD)0.7534
Skewness-0.02363999491
Sum48.4417
Variance1.202248621
2020-08-25T02:00:55.135375image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.20440.1%
 
0.320940.1%
 
-0.240340.1%
 
-0.1523< 0.1%
 
0.57473< 0.1%
 
-1.09323< 0.1%
 
-0.59073< 0.1%
 
-0.89143< 0.1%
 
-0.0033< 0.1%
 
-0.28533< 0.1%
 
-0.47053< 0.1%
 
0.17583< 0.1%
 
0.54823< 0.1%
 
0.26913< 0.1%
 
-0.00783< 0.1%
 
-0.58193< 0.1%
 
-0.0563< 0.1%
 
0.29793< 0.1%
 
0.59263< 0.1%
 
0.64243< 0.1%
 
0.52473< 0.1%
 
-0.22633< 0.1%
 
0.59963< 0.1%
 
-0.14983< 0.1%
 
0.14333< 0.1%
 
Other values (6751)732298.9%
 
ValueCountFrequency (%) 
-4.57441< 0.1%
 
-4.21321< 0.1%
 
-4.01721< 0.1%
 
-3.84971< 0.1%
 
-3.77251< 0.1%
 
-3.63961< 0.1%
 
-3.54871< 0.1%
 
-3.54341< 0.1%
 
-3.40431< 0.1%
 
-3.38521< 0.1%
 
ValueCountFrequency (%) 
3.86481< 0.1%
 
3.81481< 0.1%
 
3.70771< 0.1%
 
3.39081< 0.1%
 
3.35831< 0.1%
 
3.29291< 0.1%
 
3.2841< 0.1%
 
3.25951< 0.1%
 
3.2591< 0.1%
 
3.21441< 0.1%
 

A11
Real number (ℝ)

Distinct count6764
Unique (%)91.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0068615540540540535
Minimum-3.9204
Maximum4.0953
Zeros0
Zeros (%)0.0%
Memory size57.9 KiB
2020-08-25T02:00:55.239892image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-3.9204
5-th percentile-1.80551
Q1-0.76785
median-0.01245
Q30.75635
95-th percentile1.818725
Maximum4.0953
Range8.0157
Interquartile range (IQR)1.5242

Descriptive statistics

Standard deviation1.103269492
Coefficient of variation (CV)-160.7900315
Kurtosis-0.1261367239
Mean-0.006861554054
Median Absolute Deviation (MAD)0.76145
Skewness0.04521533457
Sum-50.7755
Variance1.217203573
2020-08-25T02:00:55.352539image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.296740.1%
 
-0.194140.1%
 
0.07373< 0.1%
 
-0.0953< 0.1%
 
-1.24553< 0.1%
 
0.85483< 0.1%
 
-0.74073< 0.1%
 
1.58653< 0.1%
 
0.82153< 0.1%
 
-0.36243< 0.1%
 
-0.50383< 0.1%
 
-0.31133< 0.1%
 
0.64593< 0.1%
 
0.20033< 0.1%
 
-0.40643< 0.1%
 
-0.72063< 0.1%
 
0.54173< 0.1%
 
0.77553< 0.1%
 
-0.65973< 0.1%
 
-1.05613< 0.1%
 
-1.07143< 0.1%
 
-0.66463< 0.1%
 
-0.70473< 0.1%
 
1.11063< 0.1%
 
-0.73563< 0.1%
 
Other values (6739)732399.0%
 
ValueCountFrequency (%) 
-3.92041< 0.1%
 
-3.49441< 0.1%
 
-3.49221< 0.1%
 
-3.37121< 0.1%
 
-3.32061< 0.1%
 
-3.2721< 0.1%
 
-3.23411< 0.1%
 
-3.19751< 0.1%
 
-3.17041< 0.1%
 
-3.12211< 0.1%
 
ValueCountFrequency (%) 
4.09531< 0.1%
 
4.06581< 0.1%
 
3.5751< 0.1%
 
3.54581< 0.1%
 
3.48411< 0.1%
 
3.45621< 0.1%
 
3.44541< 0.1%
 
3.40121< 0.1%
 
3.32471< 0.1%
 
3.29111< 0.1%
 

A15
Real number (ℝ)

Distinct count6732
Unique (%)91.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.006954405405405404
Minimum-3.6978
Maximum3.5485
Zeros0
Zeros (%)0.0%
Memory size57.9 KiB
2020-08-25T02:00:55.477335image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-3.6978
5-th percentile-1.76992
Q1-0.745975
median0.0005
Q30.71925
95-th percentile1.782295
Maximum3.5485
Range7.2463
Interquartile range (IQR)1.465225

Descriptive statistics

Standard deviation1.084897018
Coefficient of variation (CV)-156.0014056
Kurtosis-0.07717207499
Mean-0.006954405405
Median Absolute Deviation (MAD)0.7334
Skewness-0.03290459218
Sum-51.4626
Variance1.17700154
2020-08-25T02:00:55.593387image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.044340.1%
 
0.308240.1%
 
0.1653< 0.1%
 
1.15693< 0.1%
 
1.12973< 0.1%
 
1.14053< 0.1%
 
-0.67953< 0.1%
 
-0.43143< 0.1%
 
0.31063< 0.1%
 
-0.18083< 0.1%
 
-0.34853< 0.1%
 
0.7723< 0.1%
 
-0.30593< 0.1%
 
0.46833< 0.1%
 
-0.53013< 0.1%
 
0.19293< 0.1%
 
-1.49893< 0.1%
 
0.5483< 0.1%
 
0.15363< 0.1%
 
-0.32173< 0.1%
 
-0.04283< 0.1%
 
0.60173< 0.1%
 
-0.60663< 0.1%
 
0.64933< 0.1%
 
-0.05673< 0.1%
 
Other values (6707)732399.0%
 
ValueCountFrequency (%) 
-3.69781< 0.1%
 
-3.69561< 0.1%
 
-3.67511< 0.1%
 
-3.66831< 0.1%
 
-3.64641< 0.1%
 
-3.62741< 0.1%
 
-3.57091< 0.1%
 
-3.53021< 0.1%
 
-3.43871< 0.1%
 
-3.40491< 0.1%
 
ValueCountFrequency (%) 
3.54851< 0.1%
 
3.4081< 0.1%
 
3.34121< 0.1%
 
3.28351< 0.1%
 
3.28211< 0.1%
 
3.16411< 0.1%
 
3.12771< 0.1%
 
3.12651< 0.1%
 
3.10491< 0.1%
 
3.10261< 0.1%
 

target
Boolean

Distinct count2
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size57.9 KiB
0
3703
1
3697
ValueCountFrequency (%) 
0370350.0%
 
1369750.0%
 

Interactions

2020-08-25T01:59:56.064326image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:59:56.208230image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:59:56.353727image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:59:56.505339image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:59:56.656137image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:59:56.796855image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:59:56.946316image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:59:57.091658image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:59:57.237519image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:59:57.377218image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:59:57.525755image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:59:57.673027image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:59:57.819868image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:59:58.009473image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:59:58.162288image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:59:58.475179image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:59:58.624977image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:59:58.767406image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:59:58.920681image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:59:59.066338image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:59:59.211120image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:59:59.357642image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:59:59.510295image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:59:59.652212image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:59:59.797689image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:59:59.952873image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:00.106095image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:00.257416image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:00.396106image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:00.554793image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:00.702922image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:00.838526image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:00.978366image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:01.129956image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:01.280778image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:01.430840image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:01.568752image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:01.718738image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:01.866424image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:02.020145image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:02.181253image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:02.334902image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:02.473084image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:02.624569image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:02.774323image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:03.108680image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:03.253844image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:03.391469image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:03.545203image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:03.709988image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:03.844838image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:03.983471image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:04.142494image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:04.279392image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:04.433267image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:04.579867image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:04.727562image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:04.876363image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:05.004048image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:05.136501image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:05.265114image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:05.383351image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:05.520446image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:05.653475image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:05.786232image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:05.915609image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:06.039299image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:06.173005image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:06.301814image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:06.419856image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:06.541993image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:06.673647image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:06.795127image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:06.925497image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:07.047411image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:07.178029image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:07.488193image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:07.640846image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:07.793574image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:07.951266image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:08.096699image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:08.251807image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:08.402259image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:08.558878image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:08.712956image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:08.854002image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:09.009379image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:09.160488image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:09.301255image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:09.439874image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:09.602909image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:09.746127image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:09.898731image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:10.046566image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:10.201702image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:10.353332image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:10.504071image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:10.662005image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:10.817844image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:10.956546image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:11.111336image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:11.269994image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:11.423435image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:11.574173image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:11.710229image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:12.055462image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:12.207132image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:12.345803image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:12.487411image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:12.640848image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:12.783052image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:12.938012image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:13.082233image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:13.235800image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:13.388077image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:13.550155image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:13.705714image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:13.858737image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:14.002478image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:14.156399image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:14.317027image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:14.471012image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:14.631364image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:14.769071image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:14.922022image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:15.081218image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:15.219796image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:15.356736image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:15.511770image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:15.656438image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:15.810733image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:15.948317image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:16.102602image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:16.248839image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:16.405338image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:16.762018image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:16.910280image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:17.055059image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:17.204960image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:17.356420image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:17.508280image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:17.662007image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:17.798926image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:17.949925image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T02:00:48.756137image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:48.888194image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:49.041975image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:49.190475image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:49.329709image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:49.466166image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:49.618484image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:49.753022image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:49.897856image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:50.037125image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:50.183956image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Correlations

2020-08-25T02:00:55.747236image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-08-25T02:00:56.224233image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-08-25T02:00:56.515613image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-08-25T02:00:56.846506image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2020-08-25T02:00:50.490689image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:00:50.949746image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Sample

First rows

A1A18A16A2A9A6A12A4A19A17A14A3A10A20A5A13A8A11A15target
0-1.2036-3.0514-1.4220-2.6240-1.34870.6758-1.12231.3859-1.06500.1983-1.31700.5963-0.5572-0.8541-1.3597-0.1817-0.9589-0.4398-0.35511
10.1713-1.1801-2.0039-0.16690.6450-1.2382-2.4557-0.99741.3244-1.3395-0.9731-0.4155-0.62530.0202-0.9459-0.5912-0.3869-0.9652-1.65701
20.7743-2.7570-1.1460-0.6060-0.5478-1.86360.5462-0.3614-1.14970.9491-1.6227-1.9338-1.10450.01910.3864-0.2295-1.2079-0.36640.65511
3-1.2444-0.91010.60341.09900.1058-0.9695-0.8800-1.70030.0747-0.6858-1.7560-1.4684-1.96141.10820.45101.00000.08771.8583-0.67271
4-0.55200.1541-0.19600.3249-2.3584-0.21040.90960.2089-0.29810.3843-0.40960.72531.48800.52160.3148-0.0908-0.31110.22291.52871
5-1.21341.85500.78960.8617-0.6859-0.03420.69830.56401.8184-0.19840.59430.7827-0.4462-0.2744-0.35463.4860-0.87661.1027-0.41580
61.26071.96511.3088-0.71370.22881.12450.14600.88360.4680-0.93011.12840.92451.74550.27070.48691.33000.33171.24810.38430
7-2.25360.97450.0812-0.67921.19570.0740-0.36950.4076-2.1115-1.2324-0.8254-0.4980-1.1959-0.4450-0.4197-0.19740.98260.8036-1.42481
8-0.7537-1.2593-0.6456-1.44731.71960.2250-0.41961.0775-1.5080-1.7109-1.84750.44041.12630.75790.1087-0.1665-2.29150.5076-1.71441
9-1.4365-1.28670.59060.50200.4351-0.20540.6757-0.2735-0.1920-1.01500.1904-0.23871.10180.3759-1.2329-0.9876-1.5309-2.3184-0.95481

Last rows

A1A18A16A2A9A6A12A4A19A17A14A3A10A20A5A13A8A11A15target
73901.06672.24450.8560-1.99350.86640.73031.70121.48470.8918-0.46382.00662.14000.75571.9119-0.79850.5037-0.45962.19271.19280
73910.9246-0.13941.08290.40830.76830.08160.75221.33121.0983-1.0896-0.80420.06610.94041.6424-0.4966-0.7861-1.0773-0.94570.65990
7392-0.91471.11520.53361.18490.83990.72080.44741.45330.8004-0.80761.61000.00670.50861.40400.9176-0.3210-0.7487-0.48482.61090
73930.93111.4160-0.25191.24021.75090.61621.6837-0.1005-0.34480.33880.41491.68211.57190.1055-0.64971.2260-0.61331.0747-0.81160
73942.0251-0.1927-1.7580-0.75151.78350.64360.95900.3133-0.49010.69222.1953-0.31502.41570.78982.46680.08201.7272-1.78630.71010
73950.36460.08020.17251.75521.49830.82190.41830.25910.9636-0.7414-0.6089-1.1186-0.76100.99320.53010.07551.94760.07670.58540
73961.34751.29211.69522.55530.3328-1.96690.44470.93070.58830.33062.08510.36400.78711.80631.4395-0.38801.75010.1160-0.34600
73970.45420.3362-0.3481-0.8451-0.2029-1.7557-1.50080.1490-0.9813-1.1364-0.5932-0.3094-0.0195-2.0456-1.0911-1.95891.26300.2166-0.57021
7398-0.2055-1.6509-1.45550.60280.2959-1.19150.19250.40600.5711-2.17650.7233-0.36890.10640.5972-0.9010-0.5102-1.5495-0.7332-0.65011
73991.94301.5867-1.21881.79310.45970.33410.4624-0.45271.05050.31781.78421.63350.78410.73281.78331.41610.99421.66090.36240